From Local LLM to Tool-Using Agent
Using Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.
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A practical comparison between rule-based PDF extraction using pytesseract and an LLM-based approach with Ollama and LLaMA 3, based on a realistic B2B order scenario. The post I Built the Same B2B Document Extractor Twice: Rules vs. LLM appeared first on Towards Data Science.
Read full articleUsing Gemma 4, Ollama, OpenAI Agents SDK, and Tavily MCP to build a lightweight research agent The post From Local LLM to Tool-Using Agent appeared first on Towards Data Science.
From installing Ollama to launching OpenCode with a local model, step by step. The post Build Your Own Local AI Coding Agent with Gemma 4 and OpenCode appeared first on Towards Data Science.
This article builds a full local agentic programming stack using Ollama, Gemma 4, and Claude Code.
In this article, we will go deep under the hood of Ollama's configuration engine, exploring how to fine-tune local language model parameters.
Learn how to build an AI-powered Learning Management System from scratch using Ollama, FastAPI, and React. A step-by-step guide for beginner and intermediate developers.
Run a powerful, private AI coder locally with OpenCode, Ollama & Qwen3-Coder. Free, offline, and unlimited.
PLUS: Run an LLM on your laptop for free with Ollama
Open-weight models are driving the latest excitement in the AI landscape. Running powerful models locally improves privacy, cuts costs, and enables offline use. But the open-source models are far and few! But Google‘s Gemma 4 is here to change that! This guide walks through what Gemma 4 is, would explores its variants, and outlines the […] The post Running Gemma 4 Locally with Ollama on Your PC appeared first on Analytics Vidhya.